David Li

667 citations
26 papers · 506 · h-index 12

Impact in

Papers in

David Li

25 papers receiving 487 citations

Peers

David Li
Comparison fields: 5 of 70
  • Pathology and Forensic Medicine 249
  • Neurology 103
  • Developmental Neuroscience 22
  • Critical Care and Intensive Care Medicine 21
  • Rheumatology 61
Replace Krishna Prabhu with:
Krishna Prabhu India
Alfredo Madrid-García Spain
U Büll Germany
Véronique Dinand India
Jeffrey Klingman United States
Amin A. Faris United States
Chris K. Rokkas United States
Tatyana Ionova Russia
Takayuki Matsuki Japan
Tadao Okada Japan
David Li relative to Krishna Prabhu India Krishna Prabhu's profile →
Citations per field
00.5×4.4×
Krishna Prabhu · 1×
Citations per year

Countries citing papers authored by David Li

Since Specialization
Citations

This map shows the geographic impact of David Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Li more than expected).

Fields of papers citing papers by David Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Li. The network helps show where David Li may publish in the future.

Co-authors

The 25 scholars most cited alongside David Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Li Line = papers co-authored together David Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200574
2 201172
3 201667
4 199156
5 201951
6 201049
7 201526
8 202024
9 201822
10 202113
11 202212
12 198311
13 200610
14 20174
15 20194
16 20202
17 20241
18 20241
19
Effects of mid sagittal plane selection on corpus callosal area
20061
20 20221

About David Li

David Li is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Epidemiology and Surgery, having authored 26 papers that have together received 506 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Vitamin C and Antioxidants Research (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (249 citations), Neurology (103 citations), Developmental Neuroscience (22 citations), Critical Care and Intensive Care Medicine (21 citations) and Rheumatology (61 citations). David Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Douglas S. Goodin, Harry Klonoff, Joël Oger, Campbell Clark, David A. Lubarsky, Ke Peng, Patricia K. Coyle, Gordon Francis, Richard L. Applegate and Hillel Panitch. Their work appears in journals such as Multiple Sclerosis Journal, BMC Anesthesiology, Archives of Medical Science, American Journal of Health-System Pharmacy and CHEST Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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